intelligent

USING TECHNOLOGY

TO PROVIDE

AN ENHANCED MATCHING SERVICE TO

MEMBERS WOULD ENABLE

SCORING ON THE CERTAINTY AND SEVERITY

OF FRAUDULENT ACTIVITY .

Mango Solutions was chosen for the consultancy ’ s established and proven data science methodology with a long-term focus on prioritising tangible value aligned to business challenges . The partnership with Cifas would deliver strategic advice as well as innovative tactical solutions to give data-driven insight within the organisation .

With enhanced data quality , Cifas would reduce false positives to make members ’ lives easier and give better data for intelligence . Using technology to provide an enhanced matching service to members would enable scoring on the certainty and severity of fraudulent activity .

The solution

In 2020 , Cifas began exploratory talks with Mango Solutions to explore potential synergies and ways to make Cifas even more

Specifically , Mango is applying data science to refine searches and create optimised results that let members further protect themselves and see rapidly when there are risks and trends emerging of certain fraud types or activities . Cifas is adding more intelligence tools rapidly , uncovering the valuable intelligence hidden in the data that will allow members to nip emerging fraud trends in the bud .

“ Fraudulent activities constantly morph and evolve ,” said Peaston . “ We needed to develop our offer at least as fast as attackers are moving to increase their threat capacity . Working with Mango to apply predictive data science to that challenge means we can provide an advanced , self-learning augmented platform that cuts through faster than we would otherwise have been able to offer . Cifas can also be more confident in its ability to advise on high-level anti-fraud strategy through our enhanced data and intelligence capability .”

Rich Pugh , Co-founder and Chief Data Scientist at Mango , said : “ It was a perfect meeting of minds where two complementary capabilities could come together . We are augmenting expert knowledge by providing a combination of human insight and knowledge and what machines excel at – processing large data sets without errors .”

The approach

Using Mango ’ s established data science methodology , Cifas has prioritised extracting tangible value aligned to business challenges . effective . In August of that year , the two companies announced a partnership under the terms of which Mango ’ s data science tools and expertise would be deployed to deepen Cifas ’ intelligence capabilities and deepen its understanding of crime networks involved in fraud .

Peaston said : “ The investigation stage enabled Cifas to focus on core areas of opportunity , to build effective stakeholder relationships , while enabling internal empowerment . We realised that the agile way in which Mango works would be essential , to enable us to be more proactive in dealing with environmental conditions .”

Mango advised Cifas which parts of intelligence should be automated and added in more intelligence tools for members in two critical areas . First , to avoid patterns that could be picked up by algorithms – this was done horizontally – using different data , and different types of patterns . Then vertically by moving from descriptive to diagnostic , predictive and potentially prescriptive analytics . To stay ahead of perpetrators who are continually gaining in sophisticated techniques and adapting their behaviour to break into the information .

Cifas is increasingly able to offer members an easy-to-use service for detecting patterns of activity with high levels of confidence in results . The smooth transition from the